- Size: 20
- Students: 378
- Examiners: 30
- Drunk students: 14
- Students Knowledge: 86-100
- Alcohol resistance: 5-7
- Examiner suspicion: 0-100
This is an example of balanced simulation, with a few students drunk; and not much eager to drink, too
parameters derived from Example 1
- Examiner suspicion: 0-50
Now let's reduce maximum examiner suspicion range to 50, we can notice much more students passing the studies.
- Size: 50
- Students: 966
- Examiners: 266
- Drunk students: 955
- Students Knowledge: 20-50
- Alcohol resistance: 5-25
- Examiner suspicion: 0-100
This example is realized on much larger scale. Students eagerly drink, almost whole population is drunk.
parameters derived from Example 3
- Alcohol resistance: 5
This example demonstrates alcohol resistance influence. Students quickly go to sleep and get sober much faster. This is reflected by a bit less failed students.
parameters derived from Example 3
- Students Knowledge: 75-95
This example shows a case where students aren't eager to drink. Almost every student passes because drunk count tends toward 0.